IET Systems Biology

Papers
(The TQCC of IET Systems Biology is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Efficient prediction of drug–drug interaction using deep learning models77
Deep learning‐based microarray cancer classification and ensemble gene selection approach19
Various skin impedance models based on physiological stratification19
SRAS‐net: Low‐resolution chromosome image classification based on deep learning18
eBreCaP: extreme learning‐based model for breast cancer survival prediction18
Identification and analysis of circRNA–miRNA–mRNA regulatory network in hepatocellular carcinoma16
Estimation of skin impedance models with experimental data and a proposed model for human skin impedance15
Efficient heart disease prediction‐based on optimal feature selection using DFCSS and classification by improved Elman‐SFO15
Review of tools and algorithms for network motif discovery in biological networks14
Sliding mode control for a fractional‐order non‐linear glucose‐insulin system11
Identification of the key genes and immune infiltrating cells determined by sex differences in ischaemic stroke through co‐expression network module9
Application of conditional robust calibration to ordinary differential equations models in computational systems biology: a comparison of two sampling strategies8
MiRNA‐145‐5p expression and prospective molecular mechanisms in the metastasis of prostate cancer8
Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes7
Disrupted myelination network in the cingulate cortex of Parkinson's disease7
Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus7
Model predictive control optimisation using the metaheuristic optimisation for blood pressure control7
Integrated expression analysis revealed RUNX2 upregulation in lung squamous cell carcinoma tissues7
Construction and characterization of rectal cancer‐related lncRNA‐mRNA ceRNA network reveals prognostic biomarkers in rectal cancer7
Optimal control methods for drug delivery in cancerous tumour by anti‐angiogenic therapy and chemotherapy6
Bifurcation analyses and potential landscapes of a cortex–basal ganglia–thalamus model6
Fuzzy logic and Lyapunov‐based non‐linear controllers for HCV infection5
Weighted gene co expression network analysis (WGCNA) with key pathways and hub‐genes related to micro RNAs in ischemic stroke5
Identification and validation of a seven‐gene prognostic marker in colon cancer based on single‐cell transcriptome analysis5
Identification of TNFAIP6 as a hub gene associated with the progression of glioblastoma by weighted gene co‐expression network analysis5
Variable structure robust controller design for blood glucose regulation for type 1 diabetic patients: A backstepping approach5
Prognostic alternative splicing signature in cervical squamous cell carcinoma5
A two‐stage neural network prediction of chronic kidney disease5
RYR2mutation in non‐small cell lung cancer prolongs survival via down‐regulation ofDKK1and up‐regulation ofGS1‐115G20.1: A weighted gene Co‐expression network analysis and risk pr4
A novel m6A‐related prognostic signature for predicting the overall survival of hepatocellular carcinoma patients4
State Feedback and Synergetic controllers for tuberculosis in infected population4
Arbitrary‐order sliding mode‐based robust control algorithm for the developing artificial pancreas mechanism4
Comprehensive analysis of LILR family genes expression and tumour‐infiltrating immune cells in early‐stage pancreatic ductal adenocarcinoma4
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